Open AccessUncertainty Informed Anomaly Scores with Deep Learning: Robust Fault Detection with Limited Data
Author(s) -
Jannik Zgraggen,
Gianmarco Pizza,
Lilach Goren Huber
Publication year - 2022
Publication title -
proceedings of ... european conference of the prognostics and health management society.
Language(s) - English
Resource type - Journals
ISSN - 2325-016X
DOI - 10.36001/phme.2022.v7i1.3342
Subject(s) - anomaly detection , uncertainty quantification , artificial intelligence , computer science , machine learning , deep learning , probabilistic logic , regression , anomaly (physics) , data mining , statistics , mathematics , physics , condensed matter physics